Package · PyPI
onnx2tf
PyPI · v2.6.9 · MIT
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install onnx2tfAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.93
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 159
- 629 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v2.6.9
- 629 versions
- First published
- SEP 27, 2022
- Last release
- SEP 14, 2026
- 40d ago
- Licence
- MIT
Repository
Not in the Crest catalog
pinto0309/onnx2tf (GitHub, opens in a new tab)
The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.
Dependencies latest version · v2.6.9
Runtime 18
- ai-edge-litert
==2.1.2 - flatbuffers
==25.12.19 - h5py
==3.14.0 - ml-dtypes
==0.5.4 - numpy
==2.2.6 - onnx
==1.20.1 - onnxoptimizer
==0.4.2 - onnxruntime
==1.26.0 - onnxscript
==0.6.2 - onnxsim
==0.6.5 - opencv-python
==4.13.0.92 - protobuf
==7.35.1 - psutil
==5.9.5 - pytest
==9.0.2 - setuptools
==81.0.0 - sne4onnx
==2.0.1 - sng4onnx
==2.0.1 - tqdm
==4.67.1
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- litert-converterLiteRT is for mobile and embedded devices.Same primary category
- ai-edge-litert-nightlyLiteRT is for mobile and embedded devices.Same primary category
- tf-nightlyTensorFlow is an open source machine learning framework for everyone.Same primary category
- diffusersState-of-the-art diffusion in PyTorch.Same primary category
Related news
No published news event mentions this package or its repository yet.